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Price: EUR 150.00Authors: Wu, Mingzhen | Luan, Jixin | Zhang, Di | Fan, Hua | Qiao, Lishan | Zhang, Chuanchen
Article Type: Research Article
Abstract: BACKGROUND: Histopathological evaluation is currently the gold standard for grading gliomas; however, this technique is invasive. OBJECTIVE: This study aimed to develop and validate a diagnostic prediction model for glioma by employing multiple machine learning algorithms to identify risk factors associated with high-grade glioma, facilitating the prediction of glioma grading. METHODS: Data from 1114 eligible glioma patients were obtained from The Cancer Genome Atlas (TCGA) database, which was divided into a training set (n = 781) and a test set (n = 333). …Fifty machine learning algorithms were employed, and the optimal algorithm was selected to construct a prediction model. The performance of the machine learning prediction model was compared to the clinical prediction model in terms of discrimination, calibration, and clinical validity to assess the performance of the prediction model. RESULTS: The area under the curve (AUC) values of the machine learning prediction models (training set: 0.870 vs. 0.740, test set: 0.863 vs. 0.718) were significantly improved from the clinical prediction models. Furthermore, significant improvement in discrimination was observed for the Integrated Discrimination Improvement (IDI) (training set: 0.230, test set: 0.270) and Net Reclassification Index (NRI) (training set: 0.170, test set: 0.170) from the clinical prognostic model. Both models showed a high goodness of fit and an increased net benefit. CONCLUSION: A strong prediction accuracy model can be developed using machine learning algorithms to screen for high-grade glioma risk predictors, which can serve as a non-invasive prediction tool for preoperative diagnostic grading of glioma. Show more
Keywords: Glioma, machine learning, prediction model, grading, risk predictors
DOI: 10.3233/THC-231645
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-14, 2023
Authors: Dedić, Mirza | Omeragić, Elma | Imamović, Belma | Bilajac, Esma | Mahmutović, Lejla | Glamočlija, Una | Bečić, Ervina
Article Type: Research Article
Abstract: BACKGROUND: Preclinical drug testing requires in vitro and in vivo assessments that are vital for studying drug pharmacokinetics and toxicity. Distinct factors that play an important role in drug screening, such as hydrophobicity, solubility of the substance and serum protein binding can be challenging by inducing result inconsistencies. Hence, establishing accurate methods to quantify drug concentrations in cell cultures becomes pivotal for reliable and reproducible results important for in vivo dosing predictions. OBJECTIVE: This research focuses on developing an optimized analytical approach via high-pressure liquid chromatography (HPLC) to determine thymoquinone (TQ) levels in …monolayer cell cultures. METHODS: The method’s validation adheres to the International Council for Harmonisation (ICH) guideline M10, ensuring its acceptance and applicability. Using an HPLC system with a Diode Array Detector (DAD), the study fine-tuned various parameters to achieve an efficient separation of TQ. Validation covered specificity, sensitivity, matrix effects, linearity, precision, and accuracy, alongside assessing TQ stability in RPMI-1640 medium. RESULTS: The HPLC method exhibited remarkable TQ specificity, free from interfering peaks at the analyte retention. Sensitivity analysis at the lower limit of quantification (LLOQ) revealed 5.68% %CV and 98.37% % mean accuracy. Matrix effect evaluation showcased accuracy within 85–115%. Linearity spanned in the concentration range of 2–10 μ M with a correlation coefficient (r 2 ) of 0.9993. Precision and accuracy were aligned with acceptance criteria. The proposed method was found to be greener in terms of usage of persistent, bioaccumulative, and toxic chemicals and solvents, corrosive samples, and waste production. CONCLUSION: The developed HPLC-DAD method emerges as specific, accurate, sensitive, and reliable for TQ determination in cell cultures. It ensures robust TQ quantification, enhancing precise in vitro assessments and dependable dosing predictions for in vivo studies. Further research is advocated to investigate TQ’s stability across diverse environmental conditions. Show more
Keywords: Method validation, RPMI-1640, thymoquinone concentration determination
DOI: 10.3233/THC-231432
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-14, 2024
Authors: Wang, Wenhong | Zhang, Zhenbo | Xia, Fenbo
Article Type: Review Article
Abstract: BACKGROUND: Mechanical ventilation (MV) is a crucial intervention for the support of patients with acute and severe respiratory failure in modern intensive care medicine. However, the mechanical forces resulting from the interplay between the ventilator and the respiratory system may cause pulmonary injury. OBJECTIVE: To compare the effects of high-flow nasal cannula (HFNC) therapy and other oxygen therapy modalities on the risk of endotracheal reintubation in mechanically ventilated patients after extubation in the intensive care unit (ICU). METHODS: An electronic search was carried out across various databases including PubMed, Embase, Ovid, Medline, Cochrane …Library, Embase, VIP, and Wanfang. The objective of this search was to locate prospective randomized controlled trials that examined the effects of multiple oxygen therapy approaches on the incidence of reintubation in patients in the ICU after undergoing mechanical ventilation. The meta package in R language was used to analyze parameters adopted by the included studies such as reintubation rate, mortality rate, and length of hospital stay. RESULTS: This study enrolled 22 articles, involving 4,160 participants, with 2,061 in the study group and 2,099 in the control group. Among these, 20 articles presented data on the reintubation rate of the patients included with an odds ratio (OR) of 0.90 (95% CI: 0.74, 1.09) for HFNC and an OR of 1.77 (95% CI: 0.93, 3.38) for HFNC in the chronic obstructive pulmonary disease (COPD) subgroup. Moreover, 10 articles assessed the incidence of respiratory failure after extubation, revealing an OR for HFNC was 0.68 (95% CI: 0.55, 0.84) using a fixed-effects model. Nine articles addressed ICU mortality, while 13 pieces of literature examined hospital mortality. HFNC showed no significant impact on either ICU mortality or hospital mortality. CONCLUSION: HFNC therapy markedly reduces the incidence of respiratory failure in mechanically ventilated patients following extubation in the ICU. Furthermore, it specifically reduces the risk of reintubation in patients diagnosed with COPD. Show more
Keywords: Mechanical ventilation, intensive care unit, high-flow nasal cannula, respiratory failure, mortality rate
DOI: 10.3233/THC-231024
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-14, 2024
Authors: Li, Jiahao
Article Type: Research Article
Abstract: BACKGROUND: The main goal of sports science is to monitor sports injuries. Nevertheless, the existing sports injury monitoring projects have many expensive instruments and excessively extended monitoring periods, which makes it difficult to expand sports injury monitoring on a large scale. OBJECTIVE: The advancement of machine learning algorithms opens up new avenues for the tracking of sports injuries. METHODS: A training set of sports injuries was created using the Discrete Wavelet Transform (DWT) and Random Forest algorithms. Next, a basic analytic framework was created based on the lower-body movement of runners, and an …athlete’s injury likelihood monitoring system was established. First off, the wearable gyroscope device can efficiently plot the motion displacement curve and monitor the three-dimensional mechanics of the athlete’s hips, thighs, and calves. Secondly, the system has a higher computational efficiency and an advantage over other classifier-based systems in terms of testing and training times RESULTS: The suggested system framework identifies athletes’ injury propensity, providing preventive recommendations based on displacement curves, and offering a low total cost and high testing accuracy, making it easy to implement and cost-effective. CONCLUSION: All things considered, the sports injury monitoring device is very accurate and reasonably priced, making it appropriate for widespread use. Show more
Keywords: Discrete wavelet transform, random forest algorithm, three-dimensional mechanics, gyroscope, computational efficiency
DOI: 10.3233/THC-231789
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-15, 2024
Authors: Huizinga, Maarten R. | de Vries, Astrid J. | Verkerke, G.J. | Brouwer, Reinoud W.
Article Type: Research Article
Abstract: BACKGROUND: Given the increasing numbers of young patients with knee osteoarthritis there is a need for treatments that can postpone a joint prosthesis (total knee replacement). OBJECTIVE: As an alternative to the effective yet invasive knee joint distraction procedure, a knee orthosis was developed aiming to unload the affected knee and improving synovial fluid flow. The aim of this study was to examine the effectiveness of using a load-reducing orthosis for two months on functioning, pain, and disease progression (e.g. amount of damaged cartilage) in patients with symptomatic osteoarthritis of the knee for at least one …year. METHODS: This is an interventional single-center pilot study. Ten patients with symptomatic osteoarthritis of one knee (5 males/5 females; median age 57; age range 42–59) used a custom-made orthosis for 60 days during daily life activities that involved knee loading (e.g. standing, walking, but not during stair climbing). Cycling was not allowed. Clinical outcomes were assessed up to 24 months after intervention at 6 timepoints using patient reported-outcome measures Western Ontario and McMaster Universities Osteoarthritis (WOMAC) range 0–100; Visual Analogue Scale (VAS), range 0–100 for pain. Minimum joint space width (mJSW) was assessed using knee images digital analysis (KIDA) and articular cartilage volume with magnetic resonance imaging (MRI) using custom software at baseline and at 12 and 24 months follow-up. RESULTS: Clinically beneficial effects were found for functioning (WOMAC improvement compared to baseline ranged between 18 points at 3 months follow-up and 31 points at 12 months follow-up, with only the 24-months follow-up (improvement of 27 points) not reaching statistical significance (p < 0.05)) and for pain (VAS improvement compared to baseline at follow-up time points ranged between 41–56 points; all p < 0.05). No improvements in mJSW- or MRI-derived parameters were found. CONCLUSION: This study demonstrates that use of a custom-made knee-unloading orthosis for 60 days can result in improved functional ability and decrease in pain in relatively young patients with knee osteoarthritis. No effect on disease progression could be evidenced. Show more
Keywords: Knee osteoarthritis, orthosis, patient reported outcome measures, cartilage, joint space width, MRI
DOI: 10.3233/THC-230953
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-11, 2023
Authors: Pan, Wan | Zhou, Yan | Ji, Yueping | Zhou, Lianfang | Wang, Li
Article Type: Research Article
Abstract: OBJECTIVE: In order to improve nursing quality management and protect patient medical safety, it is necessary to change the default mode and completely integrate information technology and nursing quality control utilising lean management. METHODS: A database was created, the nurse quality control scoring standard was entered into the computer and after the inspection, and various inspection reports were entered into the computer to precisely and promptly preserve data. The computer was then utilised to precisely assess the intensity and quality of nursing work, compute, count, and analyse the stored data, output the quality of nursing work …in each department as a report, and adopt lean management for the gathered issues. RESULTS: To reach the objective of raising nursing quality, data analysis makes it simple to identify flaws and consistently strengthen the weak points. In order to create an information-based nursing quality control system with a simple and effective method as well as results that are scientific and objective, lean management is brought into the construction process. Show more
Keywords: Lean management, information based nursing quality control system, experience
DOI: 10.3233/THC-230730
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-10, 2024
Authors: Zhu, Li-Jun | Lin, Hui | Wu, Xiao-Tong | Shi, Shao-Hua | Qiao, Xi
Article Type: Research Article
Abstract: BACKGROUND: Diarrhea is a prevalent complication after renal transplantation. OBJECTIVE: To examine the risk factors for diarrhea after renal transplantation, evaluate their combined predictive values, and analyze the prognosis. METHODS: Clinical data of patients who underwent allogeneic renal transplantation in the Second People’s Hospital of Shanxi Province from January 2019 to March 2020 were retrospectively analyzed, cases were screened and grouped, independent risk factors for diarrhea after renal transplantation were analyzed by univariate analysis and multivariate analysis, and their predictive value was evaluated by receiver operating characteristic (ROC) curve. The survival time of …recipient grafts in diarrhea and non-diarrhea groups were evaluated by Kaplan-Meier and log-rank test. RESULTS: We included 166 recipients in the study and the incidence of diarrhea was 25.9%; univariate and logistic regression multivariate analyses revealed that independent risk factors for diarrhea in recipients were that the type of renal transplant donor was DCD (donation after circulatory death), immunity induction was onducted with basiliximab + antithymocyte globulin (ATG), and ATG alone, the type of mycophenolic acid (MPA) used was mycophenolate mofetil capsules, and delayed graft function (DGF) occurred after transplantation. The ROC curve indicated that the combination of the four factors had good accuracy in predicting the occurrence of diarrhea in recipients. The graft survival rate two years after the operation in the diarrhea group was significantly lower than that in the non-diarrhea group. CONCLUSION: Diarrhea affected the two-year survival rate of the graft. The type of donor, immunity induction scheme, and the type of MPA and DGF were independent risk factors for diarrhea in recipients, and the combination of the four factors had good prognostic prediction value. Show more
Keywords: Delayed graft function, diarrhea, mycophenolic acid, renal transplantation, type of donor
DOI: 10.3233/THC-230579
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-12, 2024
Authors: Maheshkumar, Hima | Meenakshi, Srinivasa Iyer | Rao, Shyla Dureja, Raghunath Nagasundara | Shivakumar, Ganiga Channaiah | Marrapodi, Maria Maddalena | Cervino, Gabriele | Minervini, Giuseppe
Article Type: Research Article
Abstract: BACKGROUND: Polymethyl methacrylate (PMMA) is a commonly used denture base material, but susceptibility to fracture under functional loading remains a challenge. OBJECTIVE: This preliminary screening study aims to investigate the potential of sericin and fibroin as reinforcing agents in the PMMA denture base material. METHODS: The flexural and impact strengths of PMMA incorporated with 0.01% sericin, and 0.01% each of sericin and fibroin, were evaluated. The control group consisted of PMMA without any additives. The maximum load and energy required to break the samples were measured. Statistical analysis was performed using one-way ANOVA …test and Scheffe Post Hoc tests to compare mean values between subgroups. RESULTS: The results indicated significant improvement in the flexural and impact strengths of PMMA with the addition of sericin and fibroin. The subgroups with 0.01% sericin, and 0.01% each of sericin and fibroin, demonstrated higher mean values in load and energy measurements compared to the control group. The statistical analysis confirmed the significance of these findings. CONCLUSION: The addition of 0.01% sericin and 0.01% each of sericin and fibroin to PMMA denture-based resin material significantly increases its flexural and impact strengths. These preliminary findings suggest the potential of sericin and fibroin as effective reinforcing agents in PMMA denture base materials, thereby enhancing their biomechanical properties. Show more
Keywords: PMMA, denture base material, sericin, fibroin, flexural strength, impact strength, reinforcing agents
DOI: 10.3233/THC-231772
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-14, 2024
Authors: Netto, Ann Nita | Abraham, Lizy | Philip, Saji
Article Type: Research Article
Abstract: BACKGROUND: Cardiac diseases are highly detrimental illnesses, responsible for approximately 32% of global mortality [1]. Early diagnosis and prompt treatment can reduce deaths caused by cardiac diseases. In paediatric patients, it is challenging for paediatricians to identify functional murmurs and pathological murmurs from heart sounds. OBJECTIVE: The study intends to develop a novel blended ensemble model using hybrid deep learning models and softmax regression to classify adult, and paediatric heart sounds into five distinct classes, distinguishing itself as a groundbreaking work in this domain. Furthermore, the research aims to create a comprehensive 5-class paediatric phonocardiogram (PCG) …dataset. The dataset includes two critical pathological classes, namely atrial septal defects and ventricular septal defects, along with functional murmurs, pathological and normal heart sounds. METHODS: The work proposes a blended ensemble model (HbNet-Heartbeat Network) comprising two hybrid models, CNN-BiLSTM and CNN-LSTM, as base models and Softmax regression as meta-learner. HbNet leverages the strengths of base models and improves the overall PCG classification accuracy. Mel Frequency Cepstral Coefficients (MFCC) capture the crucial audio signal characteristics relevant to the classification. The amalgamation of these two deep learning structures enhances the precision and reliability of PCG classification, leading to improved diagnostic results. RESULTS: The HbNet model exhibited excellent results with an average accuracy of 99.72% and sensitivity of 99.3% on an adult dataset, surpassing all the existing state-of-the-art works. The researchers have validated the reliability of the HbNet model by testing it on a real-time paediatric dataset. The paediatric model’s accuracy is 86.5%. HbNet detected functional murmur with 100% precision. CONCLUSION: The results indicate that the HbNet model exhibits a high level of efficacy in the early detection of cardiac disorders. Results also imply that HbNet has the potential to serve as a valuable tool for the development of decision-support systems that aid medical practitioners in confirming their diagnoses. This method makes it easier for medical professionals to diagnose and initiate prompt treatment while performing preliminary auscultation and reduces unnecessary echocardiograms. Show more
Keywords: Blended ensemble, mel frequency cepstral coefficient, meta-learner, phonocardiogram, softmax regression
DOI: 10.3233/THC-231290
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-21, 2024
Authors: Sun, Yi | Ren, Tao | Ji, Xueli
Article Type: Research Article
Abstract: BACKGROUND: Currently, cerebral infarction (CI) is mainly treated by emergency craniotomy or conservative treatment. However, some studies have questioned the functional recovery of patients after hyperbaric oxygen therapy (HBOT)-specialized care. OBJECTIVE: This paper mainly explores the influence of HBOT-specialized care on limb motor function (LMF) and mental state of CI patients with hemiplegia. METHODS: The medical records of 113 CI patients with hemiplegia treated in our hospital from March 2020 to March 2022 were collected. Of these, 53 received routine care nursing (conventional group) and 60 cases were given HBOT-specialized care (research group). …Patient general data, scores of Fugl-Meyer Assessment (FMA), National Institutes of Health Stroke Scale (NIHSS), Self-rating Anxiety/Depression Scale (SAS/SDS) and Barthel Index (BI), and nursing efficiency were comparatively analyzed. RESULTS: The two groups showed comparability in general data. FMA and BI scores were increased in the research group after rehabilitation treatment, higher than the baseline and those of the conventional group, while NIHSS, SAS, and SDS scores were reduced, lower compared with baseline and those of the conventional group. In addition, significantly higher nursing efficiency was determined in the research group. CONCLUSION: HBOT-specialized care has beneficial effects on LMF, mental state, negative emotions and self-care ability of CI patients with hemiplegia and can enhance nursing efficacy, which deserves clinical popularization. Show more
Keywords: Hyperbaric oxygen therapy-specialized care, hyperbaric oxygen, cerebral infarction, motor function, mental state
DOI: 10.3233/THC-231643
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-10, 2024
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